Evidence map›Paper›PMID 21572526›Full record

ArticlePloS one2011

Identifying human disease genes through cross-species gene mapping of evolutionary conserved processes.

Martin Poot, Alexandra Badea, Robert W Williams, Martien J Kas

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Genetics of murine type 2 diabetes and comorbidities.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  4. Molecular syndromology · 2019
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Controlling complexity: the clinical relevance of mouse complex genetics.European journal of human genetics : EJHG · 2013
    Review
  11. Article
  12. Review
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Martin PootDepartment of Medical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands.
Alexandra Badea
Robert W Williams
Martien J Kas
University Medical Center Utrecht · NLDuke Medical Center · USUniversity of Tennessee Health Science Center · US

Funding

X-RAY RESEARCH AND DEVELOPMENT WITH/WITHOUT LIVE ANIMALSP41RR005959 · NCRR · DUKE UNIVERSITY · PI DZAU, VICTOR J · 1990 to 2011
$16.0M
MOUSE BIRNU24RR021760 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TOGA, ARTHUR W · 2005 to 2009
$11.6M
Informatics Center for Mouse NeurogeneticsP20DA021131 · NIDA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2005 to 2009
$5.0M
Systems Genetics of Alcohol Response and Stress Effects in CNSU01AA013499 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2002 to 2016
$4.8M
INIA-STRESS: Informatics and Analysis CoreU01AA016662 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI WILLIAMS, ROBERT W. · 2007 to 2016
$2.9M
Small Animal Imaging Resource ProgramU24CA092656 · NCI · DUKE UNIVERSITY · PI JOHNSON, GEORGE ALLAN · 2007 to 2011
$2.2M
Systems Genetics of the HPAU01AA017590 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI WILLIAMS, ROBERT W. · 2008 to 2011
$912k
NCI NIH HHS U24 CA092656NCRR NIH HHS P41 RR005959NCRR NIH HHS U24 RR021760NIAAA NIH HHS AA17590NIAAA NIH HHS U01 AA013499NIAAA NIH HHS U01 AA016662NIAAA NIH HHS U01 AA017590NIAAA NIH HHS U01AA13499NIDA NIH HHS P20 DA021131NIDA NIH HHS P20DA21131
6 · The paper itself

Abstract

backgroundUnderstanding complex networks that modulate development in humans is hampered by genetic and phenotypic heterogeneity within and between populations. Here we present a method that exploits natural variation in highly diverse mouse genetic reference panels in which genetic and environmental factors can be tightly controlled. The aim of our study is to test a cross-species genetic mapping strategy, which compares data of gene mapping in human patients with functional data obtained by QTL mapping in recombinant inbred mouse strains in order to prioritize human disease candidate genes. METHODOLOGY: We exploit evolutionary conservation of developmental phenotypes to discover gene variants that influence brain development in humans. We studied corpus callosum volume in a recombinant inbred mouse panel (C57BL/6J×DBA/2J, BXD strains) using high-field strength MRI technology. We aligned mouse mapping results for this neuro-anatomical phenotype with genetic data from patients with abnormal corpus callosum (ACC) development. PRINCIPAL

findingsFrom the 61 syndromes which involve an ACC, 51 human candidate genes have been identified. Through interval mapping, we identified a single significant QTL on mouse chromosome 7 for corpus callosum volume with a QTL peak located between 25.5 and 26.7 Mb. Comparing the genes in this mouse QTL region with those associated with human syndromes (involving ACC) and those covered by copy number variations (CNV) yielded a single overlap, namely HNRPU in humans and Hnrpul1 in mice. Further analysis of corpus callosum volume in BXD strains revealed that the corpus callosum was significantly larger in BXD mice with a B genotype at the Hnrpul1 locus than in BXD mice with a D genotype at Hnrpul1 (F = 22.48, p<9.87*10(-5)).

conclusionThis approach that exploits highly diverse mouse strains provides an efficient and effective translational bridge to study the etiology of human developmental disorders, such as autism and schizophrenia.

Indexed as

AnimalsChromosome MappingCorpus CallosumDNA Copy Number VariationsGenotypeHumansMagnetic Resonance ImagingMiceQuantitative Trait Loci

Identifiers

PMID21572526
PMCPMC3087714
OpenAlexW2079185537

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.